• 免费好用的星瞳AI云服务上线!简单标注,云端训练,支持OpenMV H7和OpenMV H7 Plus。可以替代edge impulse。 https://forum.singtown.com/topic/9519
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  • 用阈值编辑器得出的蓝色阈值范围,用的也是IDE自带的示例,但是始终识别不出蓝色,这该怎么解决



    • # This work is licensed under the MIT license.
      # Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
      # https://github.com/openmv/openmv/blob/master/LICENSE
      #
      # Single Color RGB565 Blob Tracking Example
      #
      # This example shows off single color RGB565 tracking using the OpenMV Cam.
      
      import sensor
      import time
      import math
      
      threshold_index = 0  # 0 for red, 1 for green, 2 for blue
      
      # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
      # The below thresholds track in general red/green/blue things. You may wish to tune them...
      thresholds = [
          (30, 100, 15, 127, 15, 127),  # generic_red_thresholds
          (30, 100, -64, -8, -32, 32),  # generic_green_thresholds
          (16, 40, -71, 29, -98, -22),
      ]  # generic_blue_thresholds
      
      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QVGA)
      sensor.skip_frames(time=2000)
      sensor.set_auto_gain(False)  # must be turned off for color tracking
      sensor.set_auto_whitebal(False)  # must be turned off for color tracking
      clock = time.clock()
      
      # Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
      # returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
      # camera resolution. "merge=True" merges all overlapping blobs in the image.
      
      while True:
          clock.tick()
          img = sensor.snapshot()
          for blob in img.find_blobs(
              [thresholds[threshold_index]],
              pixels_threshold=200,
              area_threshold=200,
              merge=True,
          ):
              # These values depend on the blob not being circular - otherwise they will be shaky.
              if blob.elongation() > 0.5:
                  img.draw_edges(blob.min_corners(), color=(255, 0, 0))
                  img.draw_line(blob.major_axis_line(), color=(0, 255, 0))
                  img.draw_line(blob.minor_axis_line(), color=(0, 0, 255))
              # These values are stable all the time.
              img.draw_rectangle(blob.rect())
              img.draw_cross(blob.cx(), blob.cy())
              # Note - the blob rotation is unique to 0-180 only.
              img.draw_keypoints(
                  [(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20
              )
      
      

      0_1726663971371_屏幕截图 2024-09-18 204957.png



    • 你代码里的阈值和阈值编辑器的不一致。



    • 我改过,还是不行,试过提取好几个不同的蓝色物品的阈值来试验也不行



    • 你的代码有问题,threshold_index是0,用的是 (30, 100, 15, 127, 15, 127)这个阈值。如果你想用 (16, 40, -71, 29, -98, -22)这个阈值,threshold_index需要改为2。